Quantitative Analytics

Financial markets across the world depend on the mathematical skills of those holding quantitative analytic jobs to provide the financial theories, computer models and programs that create successful trading strategies.
Known as 'quants', these financial engineers are employed primarily by hedge funds and investment banks. For the banks they may be focused on designing and complex trading strategies while risk-focused quants will work on managing risk.

Other quant specialists have the opportunity to work in hedge funds, influencing the investment strategy through their ability to apply theoretical models to real life situations.

How to Succeed in Quant Analytics

Quants working in the financial sector typically hold advanced qualifications in specific areas of mathematics such as probability theory or multivariate calculus.

However, unlike other areas of financial services, the origin of the qualification is less important in quantitative analytics jobs. So, it is possible to hold a similar level of qualification in subjects such as computer science, economics or physics where an in-depth knowledge of mathematical theories has been demonstrated.

Although PHD's are usually preferred by quant employers, a relevant master's degree can be acceptable, especially for some of the more junior roles.

What is always important is demonstrating the ability to program complex financial models and offer the strong communication skills necessary to relay the results.

Many quants will also take specialist finance-related courses such as the Certificate in Quantitative Finance (CQF) in order to create an even greater level of career potential.

Due to the continuing use of computer-driven modeling in quantitative analysis, those with experience in programming languages are typically favoured. Combining this with the theories of key economists such as Scholes, Black and Merton, will provide the greatest opportunity of success in quantitative analytics.